Version 1
: Received: 7 May 2022 / Approved: 10 May 2022 / Online: 10 May 2022 (10:05:26 CEST)
How to cite:
Deli, E. Will Artificial Intelligence Become Conscious? Can Thermodynamics Explain the Evolution of Intellect?. Preprints2022, 2022050134. https://doi.org/10.20944/preprints202205.0134.v1
Deli, E. Will Artificial Intelligence Become Conscious? Can Thermodynamics Explain the Evolution of Intellect?. Preprints 2022, 2022050134. https://doi.org/10.20944/preprints202205.0134.v1
Deli, E. Will Artificial Intelligence Become Conscious? Can Thermodynamics Explain the Evolution of Intellect?. Preprints2022, 2022050134. https://doi.org/10.20944/preprints202205.0134.v1
APA Style
Deli, E. (2022). Will Artificial Intelligence Become Conscious? Can Thermodynamics Explain the Evolution of Intellect?. Preprints. https://doi.org/10.20944/preprints202205.0134.v1
Chicago/Turabian Style
Deli, E. 2022 "Will Artificial Intelligence Become Conscious? Can Thermodynamics Explain the Evolution of Intellect?" Preprints. https://doi.org/10.20944/preprints202205.0134.v1
Abstract
Deep neural networks (DNNs), founded on the brain's neuronal organization, can extract higher-level features from raw input. However, complex intellect via autonomous decision-making is way beyond current AI design. Here we propose an autonomous AI inspired by the thermodynamic cycle of sensory perception, operating between two information density reservoirs. Stimulus unbalances the high entropy resting state and triggers a thermodynamic cycle. By recovering the initial conditions, self-regulation generates a response while accumulating an orthogonal, holographic potential. The resulting high-density manifold is a stable memory and experience field, which increases future freedom of action via intelligent decision-making.
Computer Science and Mathematics, Computer Science
Copyright:
This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
